Correlation Between Japan Petroleum and MGIC INVESTMENT
Can any of the company-specific risk be diversified away by investing in both Japan Petroleum and MGIC INVESTMENT at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Japan Petroleum and MGIC INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Japan Petroleum Exploration and MGIC INVESTMENT, you can compare the effects of market volatilities on Japan Petroleum and MGIC INVESTMENT and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Japan Petroleum with a short position of MGIC INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Japan Petroleum and MGIC INVESTMENT.
Diversification Opportunities for Japan Petroleum and MGIC INVESTMENT
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Japan and MGIC is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Japan Petroleum Exploration and MGIC INVESTMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MGIC INVESTMENT and Japan Petroleum is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Japan Petroleum Exploration are associated (or correlated) with MGIC INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MGIC INVESTMENT has no effect on the direction of Japan Petroleum i.e., Japan Petroleum and MGIC INVESTMENT go up and down completely randomly.
Pair Corralation between Japan Petroleum and MGIC INVESTMENT
Assuming the 90 days horizon Japan Petroleum Exploration is expected to generate 0.77 times more return on investment than MGIC INVESTMENT. However, Japan Petroleum Exploration is 1.29 times less risky than MGIC INVESTMENT. It trades about -0.06 of its potential returns per unit of risk. MGIC INVESTMENT is currently generating about -0.23 per unit of risk. If you would invest 670.00 in Japan Petroleum Exploration on September 25, 2024 and sell it today you would lose (10.00) from holding Japan Petroleum Exploration or give up 1.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Japan Petroleum Exploration vs. MGIC INVESTMENT
Performance |
Timeline |
Japan Petroleum Expl |
MGIC INVESTMENT |
Japan Petroleum and MGIC INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Japan Petroleum and MGIC INVESTMENT
The main advantage of trading using opposite Japan Petroleum and MGIC INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Japan Petroleum position performs unexpectedly, MGIC INVESTMENT can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MGIC INVESTMENT will offset losses from the drop in MGIC INVESTMENT's long position.Japan Petroleum vs. ADRIATIC METALS LS 013355 | Japan Petroleum vs. Quaker Chemical | Japan Petroleum vs. KINGBOARD CHEMICAL | Japan Petroleum vs. TIANDE CHEMICAL |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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